Summary
Sam Royston is a machine learning practitioner and CEO with 12 years of experience building production ML systems, data-driven products, and engineering teams across healthcare, civic tech, and creative agencies. As founder/technical lead at VoteShield he architected anomaly-detection tooling for voter registration databases that scaled to government use and produced peer-reviewed research, and now leads Replica Health toward applied healthcare ML solutions. He blends hands-on systems design—from a SageMaker-like ML platform and recommendation engines to large-scale network visualization and WebGL—to move research into reliable production. Based in New York, he combines an MS in Computer Science and a BA in Mathematics with a bias for low-cost robotics, PCB design, ubiquitous computing, and data art, often translating experimental hardware ideas into shipped products. Colleagues describe him as a builder who pairs rigorous research with pragmatic engineering to solve high-stakes, real-world problems.
12 years of coding experience
8 years of employment as a software developer
Bachelor of Arts (BA), Mathematics, Bachelor of Arts (BA), Mathematics at Lewis and Clark College
MS, Computer Science, MS, Computer Science at New York University
English, Spanish